摘要
管道的泄漏检测是保障管道安全运行的重要技术,而管道信号的特征提取是管道泄漏检测系统中重要的组成部分。由于传感器数量的限制,信号处理工作难度较大,并且泄漏判断的误报警率较高,本文提出利用模糊聚类分析方法对管道信号进行特征提取,根据特征量的变化判断泄漏,对实际信号进行的处理验证了该方法的可行性。
Leak detection in oil pipelines was important for safe operation of pipelines. Distilling this leak characterization data was one important part of leak detection system in pipe transportation. Due to a very limited number of sensors, the system must perform a considerable amount of signal processing in order to achieve reasona- ble security and dependability. There was a high false alarm rate in existing system. This paper introduced a new leak detection method based on fuzzy cluster analysis. Utilizing the advantages of fuzzy algorithm and cluster analysis, this method was effective to distinguish oil leaks from pipeline noise. The experimental results are provided to show the feasibility of the proposed method.
出处
《电子测量与仪器学报》
CSCD
2006年第2期60-62,共3页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金重点资助项目(编号:60534050)。
关键词
管道
泄漏检测
模糊算法
聚类分析
Pipeline, leak detection, fuzzy algorithm, cluster analysis.